Senior Solutions Consultant, Enterprise Data Solutions.
Jobgether
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This role on the market
3,470 open solutions roles across 494 companies are on ApplySarthi right now, most of them in Bengaluru (128), Hyderabad (32), Mumbai (29).
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What solutions roles keep asking for: AWS (30%), Python (22%), Stakeholder management (16%), Customer success (16%), Azure (16%), GCP (14%), SaaS (14%), Product management (14%) — counted across their open postings here.
Solutions Consultant jobs in the United States · Remote Solutions Consultant jobs · RAG jobs · SaaS jobs
Jobgether has 4,586 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for solutions roles keep coming back to AWS, Python, Stakeholder management, Customer success. Practise those questions before you sit with Jobgether.
Questions you are likely to be asked
- Why do you want to join Jobgether?
- What is your experience with SaaS? Tell me one thing you learned the hard way.
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
- Tell me about yourself, and why this role is the right next step.
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Practise the Senior Solutions Consultant, Enterprise Data Solutions. at Jobgether interview free →Accountabilities: Lead solution strategy and commercial design for strategic enterprise opportunities, converting qualified pipeline into signed, multi-year contracts. Conduct discovery with senior business stakeholders across design, research, buying, merchandising, digital, innovation, and data functions. Identify how enterprise intelligence can support clients’ data strategies, AI initiatives, and technology ecosystems. Clearly communicate API capabilities, use cases, limitations, and potential business value to both commercial and technical audiences. Structure enterprise agreements that unlock new use cases, buyers, and budgets while protecting existing subscription revenue. Ensure intellectual property protection, brand attribution, and appropriate licensing terms are embedded in solution designs and commercial agreements. Develop and manage paid pilot programs that provide clients with a clear, low-risk path to adoption. Collaborate with Enterprise Account Directors, Product, Engineering, and global commercial leadership to advance complex opportunities. Coach sales colleagues on qualification, solution design, and commercial strategy; develop sales collateral and competitive battle cards. Share customer insights and market feedback with Product teams to support ongoing improvements. Requirements: 6+ years of experience in enterprise pre-sales, solutions consulting, or solutions engineering within SaaS, data, content, or marketing technology businesses. Demonstrated success leading solution strategy for enterprise deals valued at $500,000 or more, including multi-year contracts and new-logo acquisition. Strong commercial judgment, with the ability to distinguish genuine business expansion from revenue shifts between existing budget categories. Experience selling data, content, API, or SaaS solutions to large enterprise customers. Confidence engaging C-level executives and senior vice presidents, with the ability to lead multidisciplinary deal teams. Experience negotiating or shaping intellectual property protections, attribution requirements, and licensing terms in content, data, or API agreements. Ability to assess commercial and contractual risks and make sound decisions when proposed terms do not protect business value. Excellent written and verbal communication skills, including the ability to prepare executive-ready proposals and technically credible solution outlines. Strong consultative skills and the ability to connect business objectives with technical implementation requirements. Nice to have: Knowledge of fashion, beauty, retail, consumer goods, interiors, trend forecasting, research, or consumer data industries. Familiarity with enterprise AI use cases and technologies, including AI agents, retrieval-augmented generation (RAG), knowledge platforms, and personalization engines. Experience with MEDDPICC or similar enterprise sales qualification methodologies. Spanish or Portuguese language skills. Benefits: Annual base salary of $120,000–$140,000 . On-target earnings of $200,000–$220,000 , including commission. Remote work anywhere within the United States, with a preference for candidates based in Chicago. Flexible medical, dental, and vision insurance plans with employer contributions. Tax-advantaged spending accounts. Company-paid life and disability insurance from day one. Company-matched 401(k) retirement plan. Opportunities to work with global commercial, Product, and Engineering teams on strategic enterprise opportunities. Some travel to client locations is expected.
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Listed on lever · posted 2026-11-04. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.